ArticleDigestive diseases and sciences2022
Using Wearable Biosensors to Predict Length of Stay for Patients with IBD After Bowel Surgery.
Article in Digestive diseases and sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Application of goal-directed quantitative activity management based on wearable technology in children with appendicitis: a retrospective cohort study.American journal of translational research · 2026Article
- Review
- Mobile health technologies in inflammatory bowel disease: a narrative review.BMC gastroenterology · 2025Review
- Physiological Data Collected From Wearable Devices Identify and Predict Inflammatory Bowel Disease Flares.Gastroenterology · 2025Observational
- Albumin and psychological resilience: key modifiable factors for hospital length of stay in ulcerative colitis.Frontiers in nutrition · 2025Article
- Association of perioperative step count tracked by a wristband with surgical outcomes in minimally invasive lung cancer surgery: a prospective observational study.Frontiers in medicine · 2025Article
- Tolerance to and postoperative outcomes with early oral feeding following elective bowel surgery: a systematic review with meta-analysis.Annals of coloproctology · 2024Review
- Advances in Wearable Biosensors for Healthcare: Current Trends, Applications, and Future Perspectives.Biosensors · 2024Review
- Article
- Accelerometer-Measured Inpatient Physical Activity and Associated Outcomes After Major Abdominal Surgery: Systematic Review.Interactive journal of medical research · 2023Review
- Are we ready for telemonitoring inflammatory bowel disease? A review of advances, enablers, and barriers.World journal of gastroenterology · 2023Review
- Consumer Wearables for Patient Monitoring in Otolaryngology: A State of the Art Review.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2022Review
- Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
aimsIt remains unknown whether ambulation or sleep predicts postoperative length of stay for patients with IBD. We aim to identify the utility of wearable biosensors in predicting postoperative length of stay for patients with IBD.
methodsAssociations of postoperative length of stay with step count/sleep duration/sleep efficiency measured by wearable biosensors were examined. The best-fitting multivariable linear regression model predicting length of stay was constructed using stepwise model selection.
resultsFinal sample included 37 patients. Shorter sleep duration on postoperative day 4 (r = 0.51, p = 0.043) or 5 (r = 0.81, p = 0.0045) or higher sleep efficiency on postoperative day 5 (r = - 0.77, p = 0.0098) was associated with a shorter length of stay. Additionally, a more positive change in sleep efficiency from postoperative day 4-5 was associated with a shorter length of stay (r = - 0.77, p = 0.024). The best-fitting multivariable linear regression model revealed Clavien-Dindo grade 1 (p = 0.045) and interaction between Clavien-Dindo grade 2/3a and mean daily steps (p = 0.00038) are significant predictors of length of stay. The following variables were not significantly associated with length of stay: mean daily steps/sleep duration/sleep efficiency, average rate of change in these three variables, and changes in step count between successive postoperative days 1-5, sleep duration between successive postoperative days 2-5, and sleep efficiency between successive postoperative days 2-4.
conclusionWe demonstrated the utility of activity and sleep data from wearable biosensors in predicting length of stay. Patients with more severe complications may benefit more (i.e., reduced postoperative length of stay) from increased ambulation. However, overall, sleep duration/efficiency did not predict length of stay.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.